Microbial contamination in next generation sequencing: implications for sequence-based analysis of clinical samples.

The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in...

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Bibliographic Details
Main Authors: Michael J Strong, Guorong Xu, Lisa Morici, Sandra Splinter Bon-Durant, Melody Baddoo, Zhen Lin, Claire Fewell, Christopher M Taylor, Erik K Flemington
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-11-01
Series:PLoS Pathogens
Online Access:http://europepmc.org/articles/PMC4239086?pdf=render
Description
Summary:The high level of accuracy and sensitivity of next generation sequencing for quantifying genetic material across organismal boundaries gives it tremendous potential for pathogen discovery and diagnosis in human disease. Despite this promise, substantial bacterial contamination is routinely found in existing human-derived RNA-seq datasets that likely arises from environmental sources. This raises the need for stringent sequencing and analysis protocols for studies investigating sequence-based microbial signatures in clinical samples.
ISSN:1553-7366
1553-7374